IDEAS home Printed from https://ideas.repec.org/a/spr/snopef/v3y2022i1d10.1007_s43069-022-00134-y.html
   My bibliography  Save this article

Current Trends in Operating Room Scheduling 2015 to 2020: a Literature Review

Author

Listed:
  • Sean Harris

    (Montana State University)

  • David Claudio

    (University of Massachusetts Lowell)

Abstract

The operating room scheduling problem is a popular research topic due to its complexity and relevance. Previous literature reviews established a useful classification system for categorizing technical operating room scheduling articles through 2014. The increasing number of technical operating room scheduling articles published per year necessitates another literature review to allow researchers to react more quickly to emerging trends. This review builds upon previous classification schemes and categorizes 246 technical operating room scheduling articles from 2015 to 2020. Current trends and areas for future research are identified. Most notably, two major themes emerge. First, researchers continue to develop and innovate across each category. Second, the lack of real-life model implementation remains the greatest challenge facing the field.

Suggested Citation

  • Sean Harris & David Claudio, 2022. "Current Trends in Operating Room Scheduling 2015 to 2020: a Literature Review," SN Operations Research Forum, Springer, vol. 3(1), pages 1-42, March.
    • Handle: RePEc:spr:snopef:v:3:y:2022:i:1:d:10.1007_s43069-022-00134-y
    DOI: 10.1007/s43069-022-00134-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s43069-022-00134-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s43069-022-00134-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Aida Jebali & Ali Diabat, 2015. "A stochastic model for operating room planning under capacity constraints," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7252-7270, December.
    2. Zhang, Jian & Dridi, Mahjoub & El Moudni, Abdellah, 2020. "Column-generation-based heuristic approaches to stochastic surgery scheduling with downstream capacity constraints," International Journal of Production Economics, Elsevier, vol. 229(C).
    3. Li Luo & Chuang Liu & Li Feng & Shuzhen Zhao & Renrong Gong, 2018. "A random forest and simulation approach for scheduling operation rooms: Elective surgery cancelation in a Chinese hospital urology department," International Journal of Health Planning and Management, Wiley Blackwell, vol. 33(4), pages 941-966, October.
    4. Christiane Barz & Kumar Rajaram, 2015. "Elective Patient Admission and Scheduling under Multiple Resource Constraints," Production and Operations Management, Production and Operations Management Society, vol. 24(12), pages 1907-1930, December.
    5. Yasar A. Ozcan & Elena Tànfani & Angela Testi, 2017. "Improving the performance of surgery-based clinical pathways: a simulation-optimization approach," Health Care Management Science, Springer, vol. 20(1), pages 1-15, March.
    6. Gréanne Leeftink & Erwin W. Hans, 2018. "Case mix classification and a benchmark set for surgery scheduling," Journal of Scheduling, Springer, vol. 21(1), pages 17-33, February.
    7. Jose M. Molina-Pariente & Erwin W. Hans & Jose M. Framinan, 2018. "A stochastic approach for solving the operating room scheduling problem," Flexible Services and Manufacturing Journal, Springer, vol. 30(1), pages 224-251, June.
    8. Kumar, Ashwani & Costa, Alysson M. & Fackrell, Mark & Taylor, Peter G., 2018. "A sequential stochastic mixed integer programming model for tactical master surgery scheduling," European Journal of Operational Research, Elsevier, vol. 270(2), pages 734-746.
    9. Adan, Ivo & Bekkers, Jos & Dellaert, Nico & Jeunet, Jully & Vissers, Jan, 2011. "Improving operational effectiveness of tactical master plans for emergency and elective patients under stochastic demand and capacitated resources," European Journal of Operational Research, Elsevier, vol. 213(1), pages 290-308, August.
    10. Maya Bam & Brian T. Denton & Mark P. Van Oyen & Mark E. Cowen, 2017. "Surgery scheduling with recovery resources," IISE Transactions, Taylor & Francis Journals, vol. 49(10), pages 942-955, October.
    11. Di Martinelly, Christine & Meskens, Nadine, 2017. "A bi-objective integrated approach to building surgical teams and nurse schedule rosters to maximise surgical team affinities and minimise nurses' idle time," International Journal of Production Economics, Elsevier, vol. 191(C), pages 323-334.
    12. McRae, Sebastian & Brunner, Jens O., 2020. "Assessing the impact of uncertainty and the level of aggregation in case mix planning," Omega, Elsevier, vol. 97(C).
    13. Nickolas K. Freeman & Sharif H. Melouk & John Mittenthal, 2016. "A Scenario-Based Approach for Operating Theater Scheduling Under Uncertainty," Manufacturing & Service Operations Management, INFORMS, vol. 18(2), pages 245-261, May.
    14. Chaithanya Bandi & Diwakar Gupta, 2020. "Operating Room Staffing and Scheduling," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 958-974, September.
    15. Vahid Roshanaei & Curtiss Luong & Dionne M. Aleman & David R. Urbach, 2017. "Collaborative Operating Room Planning and Scheduling," INFORMS Journal on Computing, INFORMS, vol. 29(3), pages 558-580, August.
    16. Marques, Inês & Captivo, M. Eugénia, 2017. "Different stakeholders’ perspectives for a surgical case assignment problem: Deterministic and robust approaches," European Journal of Operational Research, Elsevier, vol. 261(1), pages 260-278.
    17. Shan Wang & Huiqiao Su & Guohua Wan, 2015. "Resource-constrained machine scheduling with machine eligibility restriction and its applications to surgical operations scheduling," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 982-995, November.
    18. Javiera Barrera & Rodrigo A. Carrasco & Susana Mondschein & Gianpiero Canessa & David Rojas-Zalazar, 2020. "Operating room scheduling under waiting time constraints: the Chilean GES plan," Annals of Operations Research, Springer, vol. 286(1), pages 501-527, March.
    19. Thibaud Monteiro & Nadine Meskens & Tao Wang, 2015. "Surgical scheduling with antagonistic human resource objectives," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7434-7449, December.
    20. Li, Wei & Nault, Barrie R. & Ye, Honghan, 2019. "Trade-off balancing in scheduling for flow shop production and perioperative processes," European Journal of Operational Research, Elsevier, vol. 273(3), pages 817-830.
    21. Yan Deng & Siqian Shen & Brian Denton, 2019. "Chance-Constrained Surgery Planning Under Conditions of Limited and Ambiguous Data," INFORMS Journal on Computing, INFORMS, vol. 31(3), pages 559-575, July.
    22. Wang, Yu & Zhang, Yu & Tang, Jiafu, 2019. "A distributionally robust optimization approach for surgery block allocation," European Journal of Operational Research, Elsevier, vol. 273(2), pages 740-753.
    23. Bjorn P. Berg & Brian T. Denton, 2017. "Fast Approximation Methods for Online Scheduling of Outpatient Procedure Centers," INFORMS Journal on Computing, INFORMS, vol. 29(4), pages 631-644, November.
    24. Zhang, Jian & Dridi, Mahjoub & El Moudni, Abdellah, 2019. "A two-level optimization model for elective surgery scheduling with downstream capacity constraints," European Journal of Operational Research, Elsevier, vol. 276(2), pages 602-613.
    25. Eun, Joonyup & Kim, Sang-Phil & Yih, Yuehwern & Tiwari, Vikram, 2019. "Scheduling elective surgery patients considering time-dependent health urgency: Modeling and solution approaches," Omega, Elsevier, vol. 86(C), pages 137-153.
    26. van den Broek d’Obrenan, Anne & Ridder, Ad & Roubos, Dennis & Stougie, Leen, 2020. "Minimizing bed occupancy variance by scheduling patients under uncertainty," European Journal of Operational Research, Elsevier, vol. 286(1), pages 336-349.
    27. Mohammad Mahdi Nasiri & Farzaneh Shakouhi & Fariborz Jolai, 2019. "A fuzzy robust stochastic mathematical programming approach for multi-objective scheduling of the surgical cases," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 890-910, September.
    28. Cappanera, Paola & Visintin, Filippo & Banditori, Carlo, 2014. "Comparing resource balancing criteria in master surgical scheduling: A combined optimisation-simulation approach," International Journal of Production Economics, Elsevier, vol. 158(C), pages 179-196.
    29. Range, Troels Martin & Kozlowski, Dawid & Petersen, Niels Chr., 2019. "Dynamic job assignment: A column generation approach with an application to surgery allocation," European Journal of Operational Research, Elsevier, vol. 272(1), pages 78-93.
    30. Astaraky, Davood & Patrick, Jonathan, 2015. "A simulation based approximate dynamic programming approach to multi-class, multi-resource surgical scheduling," European Journal of Operational Research, Elsevier, vol. 245(1), pages 309-319.
    31. Jiafu Tang & Yu Wang, 2015. "An adjustable robust optimisation method for elective and emergency surgery capacity allocation with demand uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7317-7328, December.
    32. Vandenberghe, Mathieu & De Vuyst, Stijn & Aghezzaf, El-Houssaine & Bruneel, Herwig, 2019. "Surgery sequencing to minimize the expected maximum waiting time of emergent patients," European Journal of Operational Research, Elsevier, vol. 275(3), pages 971-982.
    33. Shuwan Zhu & Wenjuan Fan & Tongzhu Liu & Shanlin Yang & Panos M. Pardalos, 2020. "Dynamic three-stage operating room scheduling considering patient waiting time and surgical overtime costs," Journal of Combinatorial Optimization, Springer, vol. 39(1), pages 185-215, January.
    34. Francisco Ballestín & Ángeles Pérez & Sacramento Quintanilla, 2019. "Scheduling and rescheduling elective patients in operating rooms to minimise the percentage of tardy patients," Journal of Scheduling, Springer, vol. 22(1), pages 107-118, February.
    35. Guillermo Durán & Pablo A. Rey & Patricio Wolff, 2017. "Solving the operating room scheduling problem with prioritized lists of patients," Annals of Operations Research, Springer, vol. 258(2), pages 395-414, November.
    36. Khaniyev, Taghi & Kayış, Enis & Güllü, Refik, 2020. "Next-day operating room scheduling with uncertain surgery durations: Exact analysis and heuristics," European Journal of Operational Research, Elsevier, vol. 286(1), pages 49-62.
    37. Sepehr Nemati & Oleg V. Shylo & Oleg A. Prokopyev & Andrew J. Schaefer, 2016. "The Surgical Patient Routing Problem: A Central Planner Approach," INFORMS Journal on Computing, INFORMS, vol. 28(4), pages 657-673, November.
    38. Zhang, Yu & Wang, Yu & Tang, Jiafu & Lim, Andrew, 2020. "Mitigating overtime risk in tactical surgical scheduling," Omega, Elsevier, vol. 93(C).
    39. Penn, M.L. & Potts, C.N. & Harper, P.R., 2017. "Multiple criteria mixed-integer programming for incorporating multiple factors into the development of master operating theatre timetables," European Journal of Operational Research, Elsevier, vol. 262(1), pages 194-206.
    40. Mengyu Guo & Su Wu & Binfeng Li & Jie Song & Youping Rong, 2016. "Integrated scheduling of elective surgeries and surgical nurses for operating room suites," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 166-181, June.
    41. Habibeh Nazif, 2018. "Operating Room Surgery Scheduling with Fuzzy Surgery Durations Using a Metaheuristic Approach," Advances in Operations Research, Hindawi, vol. 2018, pages 1-8, December.
    42. Şeyda Gür & Tamer Eren & Hacı Mehmet Alakaş, 2019. "Surgical Operation Scheduling with Goal Programming and Constraint Programming: A Case Study," Mathematics, MDPI, vol. 7(3), pages 1-24, March.
    43. Kyung Sung Jung & Michael Pinedo & Chelliah Sriskandarajah & Vikram Tiwari, 2019. "Scheduling Elective Surgeries with Emergency Patients at Shared Operating Rooms," Production and Operations Management, Production and Operations Management Society, vol. 28(6), pages 1407-1430, June.
    44. Roshanaei, Vahid & Luong, Curtiss & Aleman, Dionne M. & Urbach, David, 2017. "Propagating logic-based Benders’ decomposition approaches for distributed operating room scheduling," European Journal of Operational Research, Elsevier, vol. 257(2), pages 439-455.
    45. Abbas Al-Refaie & Toly Chen & Mays Judeh, 2018. "Optimal operating room scheduling for normal and unexpected events in a smart hospital," Operational Research, Springer, vol. 18(3), pages 579-602, October.
    46. Xingong Zhang & Hui Wang & Xingpeng Wang, 2015. "Patients scheduling problems with deferred deteriorated functions," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 1027-1041, November.
    47. Abbas Al-Refaie & Mays Judeh & Toly Chen, 2018. "Optimal multiple-period scheduling and sequencing of operating room and intensive care unit," Operational Research, Springer, vol. 18(3), pages 645-670, October.
    48. Brittney Benchoff & Candace Arai Yano & Alexandra Newman, 2017. "Kaiser Permanente Oakland Medical Center Optimizes Operating Room Block Schedule for New Hospital," Interfaces, INFORMS, vol. 47(3), pages 214-229, June.
    49. B. Roland & Chr. Di Martinelly & F. Riane & Y. Pochet, 2010. "Scheduling an operating theatre under human resource constraints," Post-Print hal-00787093, HAL.
    50. Bernardetta Addis & Giuliana Carello & Andrea Grosso & Elena Tànfani, 2016. "Operating room scheduling and rescheduling: a rolling horizon approach," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 206-232, June.
    51. Sagnol, Guillaume & Barner, Christoph & Borndörfer, Ralf & Grima, Mickaël & Seeling, Matthes & Spies, Claudia & Wernecke, Klaus, 2018. "Robust allocation of operating rooms: A cutting plane approach to handle lognormal case durations," European Journal of Operational Research, Elsevier, vol. 271(2), pages 420-435.
    52. Zheng Zhang & Xiaolan Xie, 2015. "Simulation-based optimization for surgery appointment scheduling of multiple operating rooms," IISE Transactions, Taylor & Francis Journals, vol. 47(9), pages 998-1012, September.
    53. Duma, Davide & Aringhieri, Roberto, 2019. "The management of non-elective patients: shared vs. dedicated policies," Omega, Elsevier, vol. 83(C), pages 199-212.
    54. Siqueira, Cecília L. & Arruda, Edilson F. & Bahiense, Laura & Bahr, Germana L. & Motta, Geraldo R., 2018. "Long-term integrated surgery room optimization and recovery ward planning, with a case study in the Brazilian National Institute of Traumatology and Orthopedics (INTO)," European Journal of Operational Research, Elsevier, vol. 264(3), pages 870-883.
    55. Akbarzadeh, Babak & Moslehi, Ghasem & Reisi-Nafchi, Mohammad & Maenhout, Broos, 2019. "The re-planning and scheduling of surgical cases in the operating room department after block release time with resource rescheduling," European Journal of Operational Research, Elsevier, vol. 278(2), pages 596-614.
    56. Paola Cappanera & Filippo Visintin & Carlo Banditori, 2018. "Addressing conflicting stakeholders’ priorities in surgical scheduling by goal programming," Flexible Services and Manufacturing Journal, Springer, vol. 30(1), pages 252-271, June.
    57. Bovim, Thomas Reiten & Christiansen, Marielle & Gullhav, Anders N. & Range, Troels Martin & Hellemo, Lars, 2020. "Stochastic master surgery scheduling," European Journal of Operational Research, Elsevier, vol. 285(2), pages 695-711.
    58. Gulsah Hancerliogullari & Emrah Koksalmis & Kadir Oymen Hancerliogullari, 2016. "Heuristics and Simulated Annealing Algorithm for the Surgical Scheduling Problem," International Series in Operations Research & Management Science, in: Ghaith Rabadi (ed.), Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling, edition 1, chapter 0, pages 225-241, Springer.
    59. Zakaria Yahia & Amr B. Eltawil & Nermine A. Harraz, 2016. "The operating room case-mix problem under uncertainty and nurses capacity constraints," Health Care Management Science, Springer, vol. 19(4), pages 383-394, December.
    60. Brian Denton & James Viapiano & Andrea Vogl, 2007. "Optimization of surgery sequencing and scheduling decisions under uncertainty," Health Care Management Science, Springer, vol. 10(1), pages 13-24, February.
    61. Bing Wang & Xingbao Han & Xianxia Zhang & Shaohua Zhang, 2015. "Predictive-reactive scheduling for single surgical suite subject to random emergency surgery," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 949-966, November.
    62. Serhat Gul & Brian T. Denton & John W. Fowler, 2015. "A Progressive Hedging Approach for Surgery Planning Under Uncertainty," INFORMS Journal on Computing, INFORMS, vol. 27(4), pages 755-772, November.
    63. Neyshabouri, Saba & Berg, Bjorn P., 2017. "Two-stage robust optimization approach to elective surgery and downstream capacity planning," European Journal of Operational Research, Elsevier, vol. 260(1), pages 21-40.
    64. Serhat Gul, 2018. "A Stochastic Programming Approach for Appointment Scheduling Under Limited Availability of Surgery Turnover Teams," Service Science, INFORMS, vol. 10(3), pages 277-288, September.
    65. Davide Duma & Roberto Aringhieri, 2018. "The Real Time Management of Operating Rooms," International Series in Operations Research & Management Science, in: Cengiz Kahraman & Y. Ilker Topcu (ed.), Operations Research Applications in Health Care Management, chapter 0, pages 55-79, Springer.
    66. Nan Liu & Van‐Anh Truong & Xinshang Wang & Brett R. Anderson, 2019. "Integrated Scheduling and Capacity Planning with Considerations for Patients’ Length‐of‐Stays," Production and Operations Management, Production and Operations Management Society, vol. 28(7), pages 1735-1756, July.
    67. Shuwan Zhu & Wenjuan Fan & Shanlin Yang & Jun Pei & Panos M. Pardalos, 2019. "Operating room planning and surgical case scheduling: a review of literature," Journal of Combinatorial Optimization, Springer, vol. 37(3), pages 757-805, April.
    68. Filippo Visintin & Paola Cappanera & Carlo Banditori, 2016. "Evaluating the impact of flexible practices on the master surgical scheduling process: an empirical analysis," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 182-205, June.
    69. Roshanaei, Vahid & Booth, Kyle E.C. & Aleman, Dionne M. & Urbach, David R. & Beck, J. Christopher, 2020. "Branch-and-check methods for multi-level operating room planning and scheduling," International Journal of Production Economics, Elsevier, vol. 220(C).
    70. Guanlian Xiao & Willem van Jaarsveld & Ming Dong & Joris van de Klundert, 2018. "Models, algorithms and performance analysis for adaptive operating room scheduling," International Journal of Production Research, Taylor & Francis Journals, vol. 56(4), pages 1389-1413, February.
    71. Dujuan Wang & Feng Liu & Yunqiang Yin & Jianjun Wang & Yanzhang Wang, 2015. "Prioritized surgery scheduling in face of surgeon tiredness and fixed off-duty period," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 967-981, November.
    72. Serpil Mutlu & James Benneyan & John Terrell & Victoria Jordan & Ayten Turkcan, 2015. "A co-availability scheduling model for coordinating multi-disciplinary care teams," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7226-7237, December.
    73. Sandeep Rath & Kumar Rajaram & Aman Mahajan, 2017. "Integrated Anesthesiologist and Room Scheduling for Surgeries: Methodology and Application," Operations Research, INFORMS, vol. 65(6), pages 1460-1478, December.
    74. Harish Guda & Milind Dawande & Ganesh Janakiraman & Kyung Sung Jung, 2016. "Optimal Policy for a Stochastic Scheduling Problem with Applications to Surgical Scheduling," Production and Operations Management, Production and Operations Management Society, vol. 25(7), pages 1194-1202, July.
    75. Inês Marques & M. Captivo & Margarida Vaz Pato, 2015. "A bicriteria heuristic for an elective surgery scheduling problem," Health Care Management Science, Springer, vol. 18(3), pages 251-266, September.
    76. Sebastian Rachuba & Brigitte Werners, 2017. "A fuzzy multi-criteria approach for robust operating room schedules," Annals of Operations Research, Springer, vol. 251(1), pages 325-350, April.
    77. Seyed Hossein Hashemi Doulabi & Louis-Martin Rousseau & Gilles Pesant, 2016. "A Constraint-Programming-Based Branch-and-Price-and-Cut Approach for Operating Room Planning and Scheduling," INFORMS Journal on Computing, INFORMS, vol. 28(3), pages 432-448, August.
    78. Miao Bai & Robert H. Storer & Gregory L. Tonkay, 2017. "A sample gradient-based algorithm for a multiple-OR and PACU surgery scheduling problem," IISE Transactions, Taylor & Francis Journals, vol. 49(4), pages 367-380, April.
    79. Silva, Thiago A.O. & de Souza, Mauricio C. & Saldanha, Rodney R. & Burke, Edmund K., 2015. "Surgical scheduling with simultaneous employment of specialised human resources," European Journal of Operational Research, Elsevier, vol. 245(3), pages 719-730.
    80. Burdett, Robert L. & Kozan, Erhan, 2018. "An integrated approach for scheduling health care activities in a hospital," European Journal of Operational Research, Elsevier, vol. 264(2), pages 756-773.
    81. Cardoen, Brecht & Demeulemeester, Erik & Beliën, Jeroen, 2010. "Operating room planning and scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 201(3), pages 921-932, March.
    82. Babak Akbarzadeh & Ghasem Moslehi & Mohammad Reisi-Nafchi & Broos Maenhout, 2020. "A diving heuristic for planning and scheduling surgical cases in the operating room department with nurse re-rostering," Journal of Scheduling, Springer, vol. 23(2), pages 265-288, April.
    83. Michael Samudra & Carla Van Riet & Erik Demeulemeester & Brecht Cardoen & Nancy Vansteenkiste & Frank E. Rademakers, 2016. "Scheduling operating rooms: achievements, challenges and pitfalls," Journal of Scheduling, Springer, vol. 19(5), pages 493-525, October.
    84. Ying Yang & Bing Shen & Wei Gao & Yong Liu & Liwei Zhong, 2015. "A surgical scheduling method considering surgeons’ preferences," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 1016-1026, November.
    85. Francesca Guerriero & Rosita Guido, 2011. "Operational research in the management of the operating theatre: a survey," Health Care Management Science, Springer, vol. 14(1), pages 89-114, March.
    86. Narges Hosseini & Kevin Taaffe, 2015. "Allocating operating room block time using historical caseload variability," Health Care Management Science, Springer, vol. 18(4), pages 419-430, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Şeyda Gür & Mehmet Pınarbaşı & Hacı Mehmet Alakaş & Tamer Eren, 2023. "Operating room scheduling with surgical team: a new approach with constraint programming and goal programming," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(4), pages 1061-1085, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aisha Tayyab & Saif Ullah & Mohammed Fazle Baki, 2023. "An Outer Approximation Method for Scheduling Elective Surgeries with Sequence Dependent Setup Times to Multiple Operating Rooms," Mathematics, MDPI, vol. 11(11), pages 1-15, May.
    2. Shuwan Zhu & Wenjuan Fan & Shanlin Yang & Jun Pei & Panos M. Pardalos, 2019. "Operating room planning and surgical case scheduling: a review of literature," Journal of Combinatorial Optimization, Springer, vol. 37(3), pages 757-805, April.
    3. Omolbanin Mashkani & Andreas T. Ernst & Dhananjay Thiruvady & Hanyu Gu, 2023. "Minimizing patients total clinical condition deterioration in operating theatre departments," Annals of Operations Research, Springer, vol. 328(1), pages 821-857, September.
    4. Aringhieri, Roberto & Duma, Davide & Landa, Paolo & Mancini, Simona, 2022. "Combining workload balance and patient priority maximisation in operating room planning through hierarchical multi-objective optimisation," European Journal of Operational Research, Elsevier, vol. 298(2), pages 627-643.
    5. Zhang, Jian & Dridi, Mahjoub & El Moudni, Abdellah, 2020. "Column-generation-based heuristic approaches to stochastic surgery scheduling with downstream capacity constraints," International Journal of Production Economics, Elsevier, vol. 229(C).
    6. Gökalp, E. & Gülpınar, N. & Doan, X.V., 2023. "Dynamic surgery management under uncertainty," European Journal of Operational Research, Elsevier, vol. 309(2), pages 832-844.
    7. Wang, Lien & Demeulemeester, Erik & Vansteenkiste, Nancy & Rademakers, Frank E., 2024. "Capacity and surgery partitioning: An approach for improving surgery scheduling in the inpatient surgical department," European Journal of Operational Research, Elsevier, vol. 313(1), pages 112-128.
    8. Şeyda Gür & Mehmet Pınarbaşı & Hacı Mehmet Alakaş & Tamer Eren, 2023. "Operating room scheduling with surgical team: a new approach with constraint programming and goal programming," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(4), pages 1061-1085, December.
    9. Silva, Thiago A.O. & de Souza, Mauricio C., 2020. "Surgical scheduling under uncertainty by approximate dynamic programming," Omega, Elsevier, vol. 95(C).
    10. Hossein Hashemi Doulabi & Soheyl Khalilpourazari, 2023. "Stochastic weekly operating room planning with an exponential number of scenarios," Annals of Operations Research, Springer, vol. 328(1), pages 643-664, September.
    11. Jian-Jun Wang & Zongli Dai & Ai-Chih Chang & Jim Junmin Shi, 2022. "Surgical scheduling by Fuzzy model considering inpatient beds shortage under uncertain surgery durations," Annals of Operations Research, Springer, vol. 315(1), pages 463-505, August.
    12. Tsai, Shing Chih & Yeh, Yingchieh & Kuo, Chen Yun, 2021. "Efficient optimization algorithms for surgical scheduling under uncertainty," European Journal of Operational Research, Elsevier, vol. 293(2), pages 579-593.
    13. Jian-Jun Wang & Zongli Dai & Wenxuan Zhang & Jim Junmin Shi, 2023. "Operating room scheduling for non-operating room anesthesia with emergency uncertainty," Annals of Operations Research, Springer, vol. 321(1), pages 565-588, February.
    14. F. Davarian & J. Behnamian, 2022. "Robust finite-horizon scheduling/rescheduling of operating rooms with elective and emergency surgeries under resource constraints," Journal of Scheduling, Springer, vol. 25(6), pages 625-641, December.
    15. Duma, Davide & Aringhieri, Roberto, 2019. "The management of non-elective patients: shared vs. dedicated policies," Omega, Elsevier, vol. 83(C), pages 199-212.
    16. Akbarzadeh, Babak & Moslehi, Ghasem & Reisi-Nafchi, Mohammad & Maenhout, Broos, 2019. "The re-planning and scheduling of surgical cases in the operating room department after block release time with resource rescheduling," European Journal of Operational Research, Elsevier, vol. 278(2), pages 596-614.
    17. Wang, Yu & Zhang, Yu & Tang, Jiafu, 2019. "A distributionally robust optimization approach for surgery block allocation," European Journal of Operational Research, Elsevier, vol. 273(2), pages 740-753.
    18. Akbarzadeh, Babak & Maenhout, Broos, 2024. "A study on policy decisions to embed flexibility for reactive recovery in the planning and scheduling process in operating rooms," Omega, Elsevier, vol. 126(C).
    19. Santos, Daniel & Marques, Inês, 2022. "Designing master surgery schedules with downstream unit integration via stochastic programming," European Journal of Operational Research, Elsevier, vol. 299(3), pages 834-852.
    20. Mariana Oliveira & Filippo Visintin & Daniel Santos & Inês Marques, 2022. "Flexible master surgery scheduling: combining optimization and simulation in a rolling horizon approach," Flexible Services and Manufacturing Journal, Springer, vol. 34(4), pages 824-858, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:snopef:v:3:y:2022:i:1:d:10.1007_s43069-022-00134-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.